References
(1) Columbia Climate School. AI’s Growing Carbon Footprint.
 https://news.climate.columbia.edu/2023/06/09/ais-growing-carbon-footprint
 (2) Stanford HAI. AI Index Report 2025.
 https://hai.stanford.edu/assets/files/hai_ai_index_report_2025.pdf
 (3) Le Scao, T. et al. BLOOM: A 176B Parameter Open-Access Multilingual Language Model.
 https://arxiv.org/pdf/2211.05100
 (4) “Training Latest AI Models Emits 250× More Carbon Emissions Than an Average American in a Year.” Outlook Business, 24 July 2024, https://www.outlookbusiness.com/start-up/news/training-latest-ai-models-emits-250x-more-carbon-emissions-than-an-average-american-in-a-year
 (5) EcoTree. How Much CO₂ Does a Tree Absorb?
 https://ecotree.green/en/how-much-co2-does-a-tree-absorb
 (6) Worldometers. Global Per-Capita CO₂ Emissions.
 https://www.worldometers.info/co2-emissions/co2-emissions-per-capita/
 (7) Register Dynamics. Artificial Footprints Series: The Environmental Impact of AI.
 https://www.register-dynamics.co.uk/blog/artificial-footprints-series-the-environmental-impact-of-ai
 (8)Hugging Face. LLaMA 2 70B.
 https://huggingface.co/meta-llama/Llama-2-70b?utm_
 (9) Hugging Face. Meta LLaMA 3 70B.
 https://huggingface.co/meta-llama/Meta-Llama-3-70B
 (10)ScienceDaily. Artificial Intelligence’s Energy Appetite: New Study on the Environmental Impact of AI Models.
 https://www.sciencedaily.com/releases/2025/06/250619035520.htm